{"id":"W4291138169","doi":"10.1111/cgf.14532","title":"Barrio: Customizable Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Science Foundation","keywords":"Workflow; Computer science; Scalability; Visualization; Domain (mathematical analysis); Function (biology); Brain atlas; Organelle; Human–computer interaction; Data science; Data mining; Artificial intelligence; Biology; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001689098,0.00106022,0.0008522925,0.001936913,0.0007556425,0.001709152,0.00264476,0.0006925269,0.01987244],"category_scores_gemma":[0.004591265,0.0006413586,0.001127989,0.0008050132,0.0005993613,0.001563931,0.003495565,0.0009052192,0.002067004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007051065,"about_ca_system_score_gemma":0.0006952448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002941682,"about_ca_topic_score_gemma":0.005398775,"domain_scores_codex":[0.9994316,0.0001310528,0.00004083447,0.000129238,0.0001926879,0.00007455821],"domain_scores_gemma":[0.9982777,0.0008175124,0.00009260635,0.0003660361,0.0002586437,0.0001876324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003897333,0.00086509,0.01271994,0.001827417,0.0006422501,0.001384131,0.002341161,0.06986681,0.2201402,0.03775704,0.1435274,0.5050311],"study_design_scores_gemma":[0.0004717648,0.0003202234,0.008438882,0.0001821294,0.0001033012,0.0005129649,0.0004484565,0.8130586,0.08212175,0.02532282,0.06870797,0.0003111512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03090265,0.0001868047,0.8448519,0.0002849688,0.0001030212,0.0003797642,0.003616139,0.1163617,0.003313054],"genre_scores_gemma":[0.222118,0.0002182147,0.7441801,0.0002264549,0.00003988569,0.001373912,0.005773081,0.02271154,0.003358819],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01987244,"threshold_uncertainty_score":0.06647998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00547764198177378,"score_gpt":0.2498280351439334,"score_spread":0.2443503931621596,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}